Benchmark
TrustDABench
What is TrustDABench?
Evaluates LLM reliability and robustness for structured data analysis using 2,340 human-verified perturbed instances derived from evidence-path perturbations…
- Released
- 2026-08-25
- Evaluates
- General AI, Robustness, Safety & Trustworthiness, cs.CL
- Openness
- unknown
- Importer
- Claire Radar
- Review status
- rule-auto-admitted
- Reported scores
- 0
Source provenance
- Original evidence https://arxiv.org/abs/2608.24145
TrustDABench paper and code
No reported scores are on record for this benchmark yet.